The invention relates to a surrounding vehicle trajectory prediction method based on vehicle trajectory interaction dynamics, and the method comprises the steps: extracting a time-dependent feature, a space-time dependent feature and a space-time interaction feature which can represent the invisible features, such as the driving intention, the driving style and the driving strategy of a driver, and fusing the features into a final prediction result; therefore, the interaction among various factors influencing the surrounding vehicle trajectory can be comprehensively considered, and the predicted trajectory is more accurate. Besides, due to the adoption of a modular feature extraction method, the interpretability of the vehicle predicted trajectory is improved, debugging and optimization of the trajectory prediction model are more convenient, people can timely prevent and avoid wrong prediction of the vehicle trajectory prediction model on the surrounding vehicle trajectory under specific conditions, and the prediction accuracy of the vehicle trajectory prediction model is improved. Therefore, the potential collision hidden danger of the vehicle on the road is reduced.
本发明涉及一种基于车辆轨迹交互动力学的周车轨迹预测方法,在车辆轨迹预测过程中,对能够代表驾驶员驾驶意图、驾驶风格、驾驶策略这些隐形特征的时间依赖特征、时空依赖特征、时空交互特征进行提取并融合到最终的预测结果中,从而能够更加全面的对影响周车轨迹的各种因素之间的交互作用进行综合考虑,使预测轨迹更加准确。另外,由于采用了模块化的特征提取方法,因此提高了车辆预测轨迹的可解释性,更加便于对轨迹预测模型的调试与优化,同时使人们能够及时防范、避免特定情况下,车辆轨迹预测模型对周车轨迹进行错误的预测,从而降低了车辆在道路上潜在的碰撞隐患。
Peripheral vehicle trajectory prediction method based on vehicle trajectory interaction dynamics
一种基于车辆轨迹交互动力学的周车轨迹预测方法
2024-10-01
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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